Pandas Crash Course for beginners : NumPy + Pandas + Matplotlib

Hello and welcome to the course!

I hope you are excited to start this journey of learning Python for data analysis.

By the end of this course, you will be able to comfortably manipulate and visualize your data.

I just want a commitment from you that you will attempt all 13 quizzes that are distributed across each of the modules, and also solve the Final assignment honestly. Why? Because the more you practice, the better you code.

Why you should take this course :

It’s Memorable: You’ll learn the “why” behind everything you do, so you remember the concepts and can use them on your own later.

It’s the Perfect Length: The course is just 6.5 hours long, so you’ll actually be able to finish it and get your certificate.

It goes at the Perfect Pace: You will learn the Python fundamentals at a pace tailored to beginners. This means you won’t get left behind and won’t waste time on irrelevant filler.

It’s Practical: You actually use Pandas to manipulate data. It’s not just dry theory. There is a mega coding assignment to give you a hands-on flavour and make you more confident in this skill. Over time, I will keep adding more coding assignments for your practice.

Now, let's have a look at the course outline.

We will start by laying some foundation with the following lectures:

• Basic Introduction to Python.

• Numpy Package, which forms the foundation of the Pandas Package.

Then, we will learn about:

• Data Types in Python to store collections of data. 

Then we will start with the following: 

• Create a Dataframe in Pandas from different file formats.

• Data Selection and Filtering.

• Merging and aggregations, which form the backbone of the dataframe analysis.

• Working with Datetime using pandas.

• Advance Data Manipulation.

• Loops and Functions.

• Data Visualization.

• Assignment - Work Fitbit User Activity data.

Try out the course for a full 30 days, with a Zero Risk, 30 Day 100% Money Back Guarantee! You have absolutely nothing to lose and everything to gain!

Enroll in the Python crash course now! - You'll be glad that you did!